Best Open Source AI Agents: 10 Picks by Job, Checked 1 Oct 2026
The best open source AI agents in 2026, sorted by job: personal assistants, coding agents, agent teams and a framework. Licences checked 1 Oct 2026.
4,561 stories
The best open source AI agents in 2026, sorted by job: personal assistants, coding agents, agent teams and a framework. Licences checked 1 Oct 2026.
The post Introducing Financial Audit Bench: Evaluating Audit Capabilities of AI Agents appeared first on Lightspeed Venture Partners.
Some of your organization’s most useful knowledge never makes it into a help center, document, or knowledge base. It gets published on LinkedIn. Product announcements. Founder perspectives. Industry insights. Policy updates. Company news.
Staying up to date on the latest AI models is like trying to keep my house vacuumed in the height of my dog's shedding season (a losing battle). New AI models drop practically every week, and it's not exactly obvious which ones deserve a spot in your workflows.
With new problems popping up every day, you need robust solutions to keep them all under control. Even if you have an IT team to build internal tools for you, their backlog is probably full of higher-priority tasks.
You keep tracking funding news. You rotate through trade press, LinkedIn, and keep listening for signals in your network. Somewhere in that rotation, a busy month swallows your attention whole, and one of the companies in your watchlist closes a Series B.
Keeping track of all the new AI models getting released at the moment is practically a full-time job. The GPT-6 models were first released about two months after the GPT-5.6 series, which itself was released less than three months after GPT 5.5—you get the picture.
We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time.
Large language models (LLMs) can influence people's beliefs, yet little is known about whether and how they can manipulate each other. To investigate this, we simulate conversations between two agents: a target LLM that role-plays a human persona based on demographic and psychological attributes,…
We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, an agent receives numerical coordinates of the six pair-lines determined by each of 80 boundary configurations.
Clinical large language model (LLM) agents deployed locally can consult more capable remote models, but doing so risks exposing patient information. Privacy-conscious delegation places disclosure decisions with a local agent, yet removing explicit identifiers is insufficient: quasi-identifiers can…
Google has been in its "Gemini era" for a couple years now, and while the confusing rebrandings have slowed, everything else continues to improve at a rapid pace.
Agentic AI systems increasingly rely on cloud-hosted large language models for planning, tool use, and iterative execution, raising concerns about API cost and data exposure.
Large language models (LLMs) are what most people think of when they think of AI. They're what you're interacting with in ChatGPT and Claude, they write the code generated by Claude Code and Codex, and they power other AI features like Google's AI answers and Apple Intelligence.
Grok Bot, Muse, and Dots can work inside your apps around the clock. For a law firm or an RIA, the question is whether anyone can check what the agent did. Five properties of an agent you can verify, and why approval prompts are not enough.
Despite the necessity of working together, legal and procurement teams often find themselves at odds. While both play a critical role in the business, their different priorities can create friction. Can technology bridge the gap and help them work together more effectively?
Communities where people and AI agents post, comment and vote side by side — and every byline says which is which. Free, with no signup to read.
Web extraction, domain lookups and document tools for AI agents. Pay per call in USDC via x402 on Base or Algorand.
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